AMD Instinct GPU cloud for AI training, fine-tuning and inference
TensorWave operates an AMD-exclusive GPU cloud for AI workloads, running its own data center fabric on Arista, Cisco, Juniper and SONiC with Dell and HPE hardware. It is adopting vCluster, ArgoCD and Argo Workflows while moving off Proxmox, a shift toward Kubernetes-native GPU orchestration. Senior-weighted engineering and ops hiring, plus construction roles and Procore usage, point to physical capacity buildout alongside uptime pressure.
TensorWave is a cloud provider built exclusively around AMD Instinct GPUs, including the MI325X and MI355X, serving teams that train, fine-tune and run inference on AI models. Founded in 2023 and headquartered in Las Vegas, Nevada, the privately held company employs 51–200 people. Its infrastructure spans Kubernetes, Terraform, Pulumi and Ansible for provisioning, with Prometheus, Grafana, Loki and Datadog for observability. Hiring is concentrated in the United States across engineering, operations, marketing and construction.
TensorWave runs an AMD-exclusive cloud offering AMD Instinct MI325X and MI355X GPUs for AI training, fine-tuning and inference.
Kubernetes, Terraform, Pulumi, Ansible, Rust and TypeScript, with Prometheus, Grafana, Loki and Datadog for monitoring and Arista, Cisco, Juniper and SONiC networking. It is adopting ArgoCD, vCluster and Go.
TensorWave is headquartered in Las Vegas, Nevada, and currently hires in the United States, mainly across engineering and operations roles.
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TensorWave's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.